Amcon Distributing (DIT) Receivables (2010 - 2026)
Amcon Distributing (DIT) reported Receivables of $77.8 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 1.3% from $78.85 million a year earlier but up 6.9% from the prior quarter.
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Analysis
Amcon Distributing (DIT) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Amcon Distributing posted Receivables of $73.19 million, up 3.6% from FY2024.
- Receivables has a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- By fiscal year, Receivables came in at $70.65 million in FY2024 (-0.3%), $70.88 million in FY2023 (+13.6%), $62.37 million in FY2022 (+74.0%) and $35.84 million in FY2021 (+4.6%).
- Five-year quarterly Receivables spans a low of $30.86 million in fiscal Q1 2022 and a high of $80.47 million in fiscal Q3 2024.
- Year over year, Receivables gained in three of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Receivables in five years was fiscal Q2 2023 (growth of 96.3%); the low point was fiscal Q2 2025 (a decline of 2.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $72.8 million (Q2 2026), $69.14 million (Q1 2026) and $73.19 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 938.89 Bn | 895.32 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 441.44 Bn | 364.72 Bn | 12.19 Bn | 3.96 Bn |
| 3 | Sysco | 39.34 Bn | 33.59 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 38.49 Bn | 24.64 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 29.44 Bn | 24.12 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 25.45 Bn | 23.44 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 23.97 Bn | 20.59 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.39 Bn | 22.19 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 17.17 Bn | 16.33 Bn | 1.68 Bn | - |
| 10 | Amcon Distributing | 61.28 Mn | 58.47 Mn | 49.80 Mn | 77.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.80 Mn |
| Mar 31, 2026 | 72.80 Mn |
| Dec 31, 2025 | 69.14 Mn |
| Sep 30, 2025 | 73.19 Mn |
| Jun 30, 2025 | 78.85 Mn |
| Mar 31, 2025 | 65.08 Mn |
| Dec 31, 2024 | 70.59 Mn |
| Sep 30, 2024 | 70.65 Mn |
| Jun 30, 2024 | 80.47 Mn |
| Mar 31, 2024 | 66.88 Mn |
| Dec 31, 2023 | 68.82 Mn |
| Sep 30, 2023 | 70.88 Mn |
| Jun 30, 2023 | 78.64 Mn |
| Mar 31, 2023 | 65.89 Mn |
| Dec 31, 2022 | 54.48 Mn |
| Sep 30, 2022 | 62.37 Mn |
| Jun 30, 2022 | 66.50 Mn |
| Mar 31, 2022 | 33.56 Mn |
| Dec 31, 2021 | 30.86 Mn |
| Sep 30, 2021 | 35.84 Mn |
API Access
Amcon Distributing Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables&ticker=DIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "DIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=DIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();